Textural feature-based no-reference image quality evaluation method
A reference image and quality evaluation technology, which is applied in the field of image processing, can solve the problems of complex calculations and cannot meet real-time applications, and achieve the effects of low computational complexity, easy real-time implementation, and improved prediction accuracy
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[0039] The present invention will be further described below in conjunction with accompanying drawing.
[0040] Such as figure 1 with figure 2 As shown, a no-reference image quality evaluation method based on texture features, the specific steps are as follows:
[0041] Step 1. Randomly divide 29 original images and their distorted images in the LIVE image database of the University of Texas at Austin into two groups: 20 original images and their distorted images as the training image set, and 9 original images and their distorted images as the training image set. Test image set; the distorted images are divided into five distortion types: JPEG, JPEG2000, Blur, Noise and Fast Fading. Divide the input image into a training image set and a test image set, and perform feature extraction on each image in the training image set and the test image set;
[0042] Step 2. Carry out grayscale transformation to each image, convert the color image into a grayscale image, and then perf...
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